Dataset: 9.3K articles from Wikipedia (CC BY-SA).
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Made by DATEXIS (Data Science and Text-based Information Systems) at Beuth University of Applied Sciences Berlin

Deep Learning Technology: Sebastian Arnold, Betty van Aken, Paul Grundmann, Felix A. Gers and Alexander Löser. Learning Contextualized Document Representations for Healthcare Answer Retrieval. The Web Conference 2020 (WWW'20)

Funded by The Federal Ministry for Economic Affairs and Energy; Grant: 01MD19013D, Smart-MD Project, Digital Technologies

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Results for Query ‹ Bronchial neoplasm risk

Fetal adenocarcinoma – Prognosis and survival

Small-cell carcinoma – Epidemiology

Mucoepidermoid carcinoma – Prognosis

Fetal adenocarcinoma – Incidence

Acinic cell carcinoma of the lung – Abstract

Lung tumor – Abstract

Small-cell carcinoma – Prognosis

Squamous-cell thyroid carcinoma – Prognosis

Mucoepidermoid carcinoma – Epidemiology

Solid pseudopapillary tumour – Abstract

Diffuse idiopathic pulmonary neuroendocrine cell hyperplasia – Prognosis

Poorly differentiated thyroid cancer – Abstract

Solid pseudopapillary tumour – Gross morphology

Intraductal papillary mucinous neoplasm – Abstract

Squamous-cell thyroid carcinoma – Abstract

Odontogenic tumor – Abstract

Intraductal papillary mucinous neoplasm – Classification

Diffuse idiopathic pulmonary neuroendocrine cell hyperplasia – Treatment

Pancreatic serous cystadenoma – Abstract

Glandular and epithelial neoplasm – Abstract

Urogenital neoplasm – Abstract

Pancreatic serous cystadenoma – Classification

Sebaceous lymphadenoma – Diagnosis

Proliferating trichilemmal cyst – Abstract

Sebaceous lymphadenoma – Treatment